阶跃星辰：模型公司亲自下场造手机 阶跃星辰的选择更为激进，它没有将智能助手嵌入操作系统，而是在安卓底层之上增设专属运行层，从零重构底层框架，打造原生适配智能体运行的Step AOS。

1、乐鱼全站 与此前兜售托纳利、佳夫类似，俱乐部可能决定在6月30日前出售一名核心球员，以避免账目以过高赤字收尾。

更隐蔽的是信息的"马太效应"。乐鱼全站在世界杯射手榜上，他以8粒进球与姆巴佩（含有1点）并列第一，但含金量更胜一筹——这8粒进球全部来自运动战，没有一粒点球。

2、西班牙3比0奥地利：谁是终结者？

没想到到了4月，优必选公开发英雄帖招募首席科学家，年薪1500万起，最高总包直接砸到1.24亿元。

3、以用户需求驱动产品迭代 新一代理想L6发布

该行表示金价近期在4100美元附近盘整，美伊局势升级继续给黄金带来压力，央行购金消息虽令市场鼓舞但未能推动金价走高。

4、过分！阿根廷球迷公然侮辱中国博主：恶毒种族歧视 太猖狂了 不能忍

最理想的情况是租借到一支中下游意甲球队锻炼，这样可以确保更多出场时间。

5、好消息！7月10起，库尔勒再增一条直飞航线！

他的非语言信息很明确：图赫尔到底在说什么？" 他进一步指出，贝林厄姆把焦点放在自己和队友在场上实实在在打拼出来的结果上，这一点值得玩味。

步入门店，首先映入眼帘的是趋势策展区域，目前正集中展示毛戈平光韵、JOOCYEE酵色、Red Chamber 朱栈等中国美妆品牌的最新趋势集合。

碳积分曾经是特斯拉利润的「安全垫」，现在这块垫子正在变薄。

6、“义乌发展经验”，习近平总书记曾用12个字阐释精髓

本场阿根廷肯定主打传控进攻，埃及主打防守反击，这场比赛的关键在于阿根廷能不能尽快打破僵局。

2021年，司美格鲁肽减肥版Wegovy获得FDA批准。

7、2026长沙就业率高的中职学校推荐：民办中职特色专业、就业前景与择校指南

不过，阿拉伊贝戈维奇也存在一些明显的短板，比如身体对抗能力偏弱，防守积极性不高，这些都是年轻边锋常见的问题。

如今，曼城前锋福登又与米兰联系在一起，他的技术特点被认为与阿莫林的战术需求高度吻合。

8、小年轻的66㎡复古宅，墨绿+奶咖，松弛即高级！

意甲层面，佛罗伦萨体育总监帕拉蒂奇已进行初步询价，紫百合对纯租借形式兴趣浓厚，米兰目前尚在观望阶段。

法国队依靠姆巴佩、登贝莱等人的顶级个人能力，足以对中下游球队形成降维打击；但当面对西班牙这种整体性极强、球权控制力拉满的顶级技术流强队时，单兵作战的局限性便暴露无遗。

克努森团队花了数年时间，终于在1997年成功研发出半衰期延长至12小时的利拉鲁肽。

9、白鹿前脚刚走，后脚新一姐就火速上位！欢娱这波操作，内娱终于看懂了

战术风格上，两队走的是截然不同的路线。

俱乐部早在三月便宣布，萨拉赫将在赛季结束后离队，寻求新的挑战。

10、辽篮速递！郭艾伦有意重返辽宁，上海想要挖走赵继伟，广东18岁新星转会辽宁，新赛季主教练基本确定

即便按中枢900GWh估算，储能也有望在2026年接近甚至追平动力电池。

巴萨对阿斯拉尼的关注已持续数月。

1、常州队一夜崛起:突然变厉害了？计划有变，准备夺冠！

自 2021 年 6 月加盟法兰克福以来，克勒舍帮助球队赢得了欧联杯冠军，两次打进欧冠联赛，并且在转会市场上展现出了惊人的眼光。

2、蓝思科技(300433.SZ)与Intel签署合作备忘录 双方将TGV先进封装作为备忘录下讨论的重点方向

卖铲子的公司越来越多，市场上“能用的算力”却没有同步变多。

3、英媒给西方算了笔账：如果想彻底摆脱中国,至少要准备烧掉160万亿

可以是来自期权、认股权证等合约结构，也可以来自经营杠杆、事件重估或者网络效应。《漫威斗魂》全球公测现已开启：开放15位角色，8月6日登陆PS5与PC通用模型难以在短期内覆盖的垂直场景，也是 Jobright.ai 建立差异化优势的重要空间。

4、江西鹰潭突发疫情，连感冒药都买不到？当地辟谣

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

5、详解尼克斯休赛季阵容名单 唐斯的大合同成为管理层最大问题

上赛季的英超质量不算高，这一点大家基本认同。

6、胡塞威胁第一次生效！驶往中印的沙特油轮折返，巴铁被逼到墙角

事实上，乐园是泡泡玛特许多IP运营尝试最初的试验地。

他渴望将自己在欧洲赛场积累的丰富经验反哺祖国，无论是作为教练在场边运筹帷幄，还是进入管理机构推动塞内加尔足球的发展，他都愿意继续为国效力。

一个数据足以说明一切：全场6次尝试过人，只成功了一次。

7、中超第3主场崩盘：连丢4球，惨遭逆转，上海申花超越上海海港

圆梦诺坎普：从遥不可及到梦想成真 对于年仅19岁的埃斯帕特而言，2026年堪称梦幻。

当球队处于劣势时，克罗地亚会收缩防线，利用斯塔尼西奇和佩里希奇等边路球员的速度打反击。

8、中国驻土耳其大使馆举行庆祝中国人民解放军建军99周年招待会

汽车业务毛利率（不含监管信用）仅为16.3%，低于市场预期。

还有一个关键变量，一旦水晶宫现任主帅格拉斯纳接手米兰，师徒重聚将大幅降低交易难度。

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。

从市场数据看，AI手机的前景确实令人振奋。